Under the situation that the construction of new smart cities is getting louder and louder, there are still a large number of people who don't know much about the development of this field. This paper mainly focuses on the application cases and trend development of intelligent video surveillance technology in the construction of smart cities. Analysis helps to deepen readers' perception of the field.
In-depth application case analysis of intelligent video surveillance technology in smart cities
1. Intelligent video technology to check and control the muck
Under the wave of new smart city construction, site management in various cities across the country has become a difficult problem in urban management, especially in the process of transporting mucks on construction sites. How to effectively regulate the safe operation of mucks and the legal dumping of muck has become a problem that the relevant government departments must deal with seriously.
At present, major cities have basically formed a network of urban video surveillance systems covering major trunk roads and key intersections in the city. The practice adopted by Jinpeng is to use the video surveillance intelligent front-end to collect video data as the basis of the analysis application. Through the characteristics and key information of the muck truck, the muck car is identified from the numerous video data, and the identified vehicle is judged. Whether the behavior is legal, such as whether the cover is covered, whether the vehicle is overloaded or spilled, etc., the results of the analysis are compared with the supervision list to confirm the legality and compliance of the vehicle.
2. Integrated urban management based on intelligent video technology
Since the development of urban management, it has changed from the original information management to intelligent management. With the reform of the large department system, the scope of management has become more and more large, including city appearance, environment, garden and advertising. Especially based on the application of intelligent video analysis technology, urban management is becoming more and more intelligent. For example, Guangzhou has set up a special video inspection position in the city monitoring and command center, using video to find problems, check problems and assessment. However, inspections rely on people all the way to inspect, the efficiency is low, it is difficult to achieve the application effect, how to use advanced technology to replace the complicated and repeated labor of video inspection posts, improve work efficiency, this is an important research direction.
Based on this business scenario, an urban integrated management application solution based on intelligent video analysis technology and deep learning algorithm came into being. Aiming at the difficult urban management problems that often occur in urban management, such as the disordered materials, road management, and hawkers, intelligent analysis of urban management violations is carried out by applying intelligent video analysis technology and using high-performance dedicated GPU servers. Using existing video data, through data analysis and deep learning, form a structured view library to form upper-level business applications, thus achieving four kinds of illegal activities of urban management, such as road management, store operation, peddlers, and garbage dumping. Types of intelligent analysis and identification, and automatic alarms for detected violations (Figure).
City management intelligent alarm
1. Intelligent video surveillance cameras will become more and more popular
At present, video surveillance plays an increasingly important role in social public safety. Video technology has become the fourth largest area of ​​investigation technology after criminal science and technology, mobile technology and network detection technology. With the continuous development of “Safe Cityâ€, the system construction will be expanded from first-tier cities to second- and third-tier cities, and will be promoted by large and medium-sized cities to districts, counties and towns. At the same time, due to the continuous improvement of algorithm accuracy and environmental adaptability, especially the continuous advancement of technologies such as machine learning and artificial intelligence, and the large-scale deployment of intelligent analysis applications, the application of intelligent video surveillance technology will become more and more common.
2. To data fusion and collaborative application development
At present, intelligent video analysis technology mainly analyzes real-time video images and plays an early warning role. The application of this aspect has become increasingly mature. The resulting massive data storage, how to be better explored, utilized, and analyzed is the direction we need to focus on. With the help of intelligent video analysis technology, video data mining can be carried out in depth, and massive video data can be analyzed and managed to effectively improve the use of video data. At the same time, when video data is converted into data resources, it will cooperate with more business systems and departmental applications to realize analysis of multiple related data and mine more valuable applications, such as criminal investigation clue analysis, case law analysis, and social public opinion analysis. Wait.
Conclusion
It is foreseeable that the existing intelligent analysis technologies are continuously integrated and expanded into various product forms, applied to all aspects of video surveillance, and then changed into more intelligent products and richer business applications. More flexible system structure. In the future, intelligent video analysis technology and IOT-based technology based on deep learning will continue to be integrated. Visual management and visualization will become a development trend. The application of video data will transform from security to more industry applications, and promote smart video technology. The combination of local and industrial users' business needs has opened up a larger industry market for video surveillance.
In recent years, Guangdong, Hong Kong, Macao and Dawan District have exerted a lot of efforts in creating new engines for innovation and driving technological innovation to promote resource agglomeration. Innovation mechanisms, industrial upgrading, talent drainage and coordinated development have brought many opportunities. Correspondingly, artificial intelligence and talent empowerment are profoundly affecting the pace of business.
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